Abstract
High-resolution aerial color image offers great possibilities for geometric and semantic information for spatial data generation. However, shadow casts by buildings and trees in high-density urban areas obscure much of the information in the image giving rise to potentially inaccurate classification and inexact feature extraction. Though many researches have been implemented for solving shadow casts, few studies have been carried out about the extraction of features hindered by shadows from aerial color images in urban areas. This paper presents a road boundary extraction technique that combines information from aerial color image and LIght Detection And Ranging (LIDAR) data. The following steps have been performed to remove shadow effects and to extract road boundary from the image. First, the shadow regions of the aerial color image are precisely located using LIDAR DSM (Digital Surface Model) and solar positions. Second, shadow regions assumed as road are corrected by shadowpath reconstruction algorithms. After that, road boundary extraction is implemented by segmentation, edge detection, and edge linking method. Finally, road boundary lines are extracted as vector data by vectorization technique. The experimental results show that this approach is effective and great potential advantages.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wolf, P.R., Dewitt, B.A.: Elements of Photogrammetry: With Applications in GIS, 3rd edn., p. 608. McGraw-Hill, Boston (2000)
Gruen, A., Li, H.H.: Semi-automatic liner feature extraction by dynamic programming and LSB-snakes. Photogrammetric Engineering & Remote Sensing 63(8), 985–995 (1997)
Itten, K.I., Meyer, P.: Geometric and radiometric correction of TM data of mountainous forested areas. IEEE Transactions on Geoscience and Remote Sensing 31(4), 764–770 (1993)
Trinder, J., Li, H.H.: Semi-Automatic Feature Extraction by Snakes. In: Gruen, A., Kubler, O., Agouris, P. (eds.) Automatic Extraction of Man-Made Objects from Aerial and Space Images, pp. 95–104. Birkhauser Verlag, Basel (1995)
Neuenschwander, W., Fua, P., Szekely, G., Kubler, O.: From zip lock snakes to VelcroTM surfaces. In: Gruen, A., Kubler, O., Agouris, P. (eds.) Automatic Extraction of Man-Made Objects from Aerial and Space Images, pp. 105–114. Birkhauser Verlag, Basel (1995)
Zhu, P., Lu, Z., Chen, X., Honda, K., Eiumnoh, A.: Extraction of city roads through path reconstruction using laser data. Photogrammetric Engineering and Remote Sensing 70(12), 1433–1440 (2004)
Stockham, J.T.G.: Image processing in the context of a visual model. Proceeding of the IEEE 60, 828–842 (1972)
Cowen, D.J., Jensen, J.R., Hendrix, C., Hodgson, M.E., Schill, S.R.: A GIS-Assisted rail construction econometric model that incorporates LiDAR data. Photogrammetric Engineering and Remote Sensing 66(11), 1323–1328 (2000)
Gonzalez, R.C., Woods, R.E.: Digital image processing. Addison-Wesley, New York (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yun, KH., Sohn, HG., Heo, J. (2006). Road Boundary Extraction Using Shadow Path Reconstruction in Urban Areas. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588_103
Download citation
DOI: https://doi.org/10.1007/11751588_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34072-0
Online ISBN: 978-3-540-34074-4
eBook Packages: Computer ScienceComputer Science (R0)